Rtdetr V2 R50vd
RT-DETRv2 is an improved real-time object detection Transformer model that enhances performance through strategies such as selective multi-scale feature extraction and dynamic data augmentation.
Downloads 15.77k
Release Time : 1/31/2025
Model Overview
RT-DETRv2 is a real-time object detection model based on the Transformer architecture. By introducing techniques like selective multi-scale feature extraction and more universally compatible discrete sampling operators, it improves detection accuracy and flexibility while maintaining real-time performance.
Model Features
Real-time performance
Maintains real-time speed across all model sizes while surpassing the performance of previous-generation models.
Selective multi-scale feature extraction
Improves detection accuracy through selective multi-scale feature extraction.
Dynamic data augmentation
Employs training strategies such as dynamic data augmentation and scale-adaptive hyperparameters to enhance model flexibility and practicality.
Model Capabilities
Real-time object detection
Multi-scale feature extraction
High-precision detection
Use Cases
Autonomous driving
Vehicle and pedestrian detection
Detects vehicles and pedestrians on the road in real time to enhance the safety of autonomous driving systems.
Security surveillance
Abnormal behavior detection
Monitors video streams in real time to detect abnormal behavior or suspicious objects.
Robotics
Environmental perception
Helps robots perceive objects and obstacles in their surroundings in real time.
Retail analytics
Product recognition
Identifies products on shelves in real time for inventory management and customer behavior analysis.
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